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Identify positions in R, we will explore how to use the `str_subset` and `str_which` functions in R to filter and find patterns in character strings.

These functions are part of the `stringr` package, which provides a variety of functions for working with strings.

## Identify positions in R

To demonstrate the usage of `str_subset` and `str_which`, we will create a vector of character strings `x` and install/load the `stringr` package:

```install.packages("stringr")
library("stringr")
x <- c("aaa", "bbb", "abc")```

Example 1: Using str_subset to Filter Patterns

We can use the `str_subset` function to filter a character string vector and keep only the strings that match a pattern.

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For example, we can use it to extract all character strings that contain the letter “a”:

`str_subset(x, "a")`

This will output a vector of character strings that contain the letter “a”:

`# "aaa" "abc"`

As you can see, `str_subset` has filtered our original vector and returned only the strings that match the pattern.

Example 2: Using str_which to Find Positions

We can also use the `str_which` function to find the positions of character strings that match a pattern.

For example, we can use it to find the positions of all character strings that contain the letter “a”:

`str_which(x, "a")`

This will output a vector of indices that indicate the positions of the character strings that match the pattern:

`# 1 3`

The RStudio console output shows that the character strings at position 1 and 3 of our vector are containing the letter “a”.

## Conclusion

In this article, we have learned how to use the `str_subset` and `str_which` functions in R to filter and find patterns in character strings.

By using these functions, you can easily extract specific patterns from your data and identify their positions.

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